Dual supervised sampling networks for real-time segmentation of cervical cell nucleus

The morphology of the cervical cell nucleus is the most important consideration for pathological cell identification. And a precise segmentation of the cervical cell nucleus determines the performance of the final classification for most traditional algorithms and even some deep learning-based algor...

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Detalles Bibliográficos
Autores principales: Luo, Die, Kang, Hongtao, Long, Junan, Zhang, Jun, Chen, Li, Quan, Tingwei, Liu, Xiuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411584/
https://www.ncbi.nlm.nih.gov/pubmed/36051871
http://dx.doi.org/10.1016/j.csbj.2022.08.023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411584/
https://www.ncbi.nlm.nih.gov/pubmed/36051871
http://dx.doi.org/10.1016/j.csbj.2022.08.023

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